Quality checks built into every stage of research execution
Market Intelligence Unit uses a structured approach to help clients reduce avoidable errors, improve response quality and deliver more reliable research outputs through setup checks, monitoring, validation, cleaning and transparent delivery.
Research quality is not a single step at the end of a project
Research quality depends on clear setup, fieldwork monitoring, validation rules, clean data handling and transparent reporting.
Structured quality checks across the workflow
Market Intelligence Unit uses a structured approach to help clients reduce avoidable errors, improve response quality and deliver more reliable research outputs.
Our quality process can be aligned with the client brief, platform setup, fieldwork plan, validation rules and final reporting requirements.
Five quality checkpoints across research execution
Our quality framework helps keep survey setup, fieldwork, validation and delivery aligned with the research objective and project brief.
Project Setup Review
Confirm questionnaire, sample plan, quotas, logic, deliverables and project expectations before execution begins.
Pre-launch Testing
Review programmed survey paths, respondent experience, device behavior and data exports before full launch.
In-field Monitoring
Track completes, quotas, incidence, dropouts, field progress and early data quality signals.
Post-field Validation
Apply agreed checks for duplicates, speeders, straightliners, inconsistencies and poor open-ends.
Delivery Review
Confirm datasets, tables, charts and reports align with the project brief and agreed deliverables.
Confidentiality and data handling aligned with project requirements
We work with client-provided requirements for confidentiality, consent, secure file transfer and data handling. Where projects require specific compliance steps, we align our workflow to the agreed project instructions and partner requirements.
- Client data handling requirements are reviewed as part of project setup.
- Secure file transfer methods can be aligned with client instructions.
- Consent and fieldwork requirements are handled according to the agreed project process.
- Partner requirements can be incorporated when projects involve external fieldwork support.
- Compliance statements are included only when verified and documented.
Want quality checks structured for your next project?
Ask us how we can structure quality checks for your next project across setup, fieldwork, validation, cleaning and delivery review.
Tell us about your project quality requirements
Share your project brief, data quality concerns, validation requirements and delivery expectations.
What happens next?
Once we receive your enquiry, we review the project stage, survey setup, fieldwork plan, validation requirements and final delivery needs before recommending a quality support approach.
- ✓ Project setup and testing review
- ✓ In-field monitoring requirements
- ✓ Validation and cleaning rule discussion
- ✓ Delivery review and documentation plan